Risk Field of Rock Instability using Microseismic Monitoringdata in Deep Mining

Abstract

With the gradual depletion of surface resources, rock instability caused by deep high stressand mining disturbance seriously affects safe mining. To create effective risk management, a rockinstability risk field model using microseismic monitoring data is proposed in this study. Rockinstability risk was presented visually in 3D visualization. The in-situ microseismic monitoringdata was collected and analyzed to make calculation of peak ground velocity (PGV), peak groundacceleration (PGA), energy flux, energy and seismic moment. Indicator weights of PGV, PGA, energyflux are confirmed by using the analytic hierarchy process (AHP) to calculate risk severity. The Copulafunction is then used to solve the joint probability distribution function of energy and seismic moment.Then the spatial distribution characteristics of risk can be obtained by data fitting. Subsequently, thethree-dimensional (3D) risk field model was established. Meanwhile, the established risk field isverified by comparing monitoring data without disturbance and the blasting data with disturbance.It is suggested that the proposed risk field method could evaluate the regional risk of rock instabilityreasonably and accurately, which lays a theoretical foundation for the risk prediction and managementof rock instability in deep mining.

Application of Microseismic Monitoring Technology in Mine Disaster Prevention and Control

“…By continuously monitoring changes in the underground rock mass and providing real-time data on ground pressure, microseismic monitoring technology empowers mine management with the ability to provide early warnings and predictions for ground pressure. This contributes to strengthening mine safety measures, reducing the risk of accidents caused by ground pressure, and ensuring the safety of miners [4].…”

Characteristics of Resistivity Variation in Deep Granite and In-Situ Detection Applications

“…With the continuous growth in the demand for deep underground resource development, vertical shaft depths have exceeded 1500m, leading to increasingly prominent challenges in deep geological conditions [1][2][3][4] . By comparing the core samples from engineering exploration boreholes(figure 1), it is observed that shallow formations have relatively low stress levels, resulting in intact core samples with fewer joint fractures.…”

Controlled reconstruction and application research of lateral overlying strata structure in high-gas mines with thick-hard roofs for a fully-mechanized top-caving face

“…Dong LJ [ 32 ] uses traveltime tomography to early identify abnormal areas of complex rock mass geological structures and better predict potential risks in roadways. In addition, he also applies microseismic data and acoustic emission technology to disaster prediction [ 33 , 34 ].…”